Integration of questionnaire-based risk factors improves polygenic risk scores for human coronary heart disease and type 2 diabetes.

ABSTRACT: Large-scale biobank initiatives and commercial repositories store genomic data collected from millions of individuals, and tools to leverage the rapidly growing pool of health and genomic data in disease prevention are needed. Here, we describe the derivation and validation of genomics-enhanced risk tools for two common cardiometabolic diseases, coronary heart disease and type 2 diabetes. Data used for our analyses include the FinnGen study (N = 309,154) and the UK Biobank project (N = 343,672). The risk tools integrate contemporary genome-wide polygenic risk scores with simple questionnaire-based risk factors, including demographic, lifestyle, medication, and comorbidity data, enabling risk calculation across resources where genome data is available. Compared to routinely used clinical ri

SUBMITTER: Tamlander M 

PROVIDER: S-EPMC8866413 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature